Highspot launches new agentic AI to help sales teams execute with precision and win more deals

Highspot, positioned as the only agentic platform purpose-built for go-to-market (GTM) performance, has announced its Winter Product Launch 2026. The latest release introduces new agentic AI innovations designed to help revenue teams sharpen deal execution, accelerate sales cycles, and improve win rates across increasingly complex buying environments.

What’s new in the Winter Launch ’26

At the center of the Winter Launch is Deal Intelligence, powered by Deal Agent. This new capability analyzes CRM records, buyer engagement signals, and meeting intelligence to create a real-time, unified view of every active opportunity. With this comprehensive context, Deal Agent delivers data-driven recommendations that guide sellers on how to move each deal forward with confidence.

Turning connected deal insights into execution

Sales and GTM teams often face challenges caused by disconnected signals and limited visibility into why deals stall or progress. Highspot Deal Intelligence addresses this gap by bringing together buyer activity, CRM updates, and meeting insights into a single, actionable view that reflects true deal health and execution status.

Deal Agent converts these insights into concrete guidance by suggesting next-best actions. These include flagging potential risks, triggering deal-specific AI Role Play, or launching a Digital Sales Room (DSR) to re-engage buyers and maintain momentum. Built on Highspot Nexus, the company’s unified AI and analytics engine, Deal Agent integrates directly with CRM systems to ensure all recommendations align with the organization’s established sales motion.

Also Read: Force Management Unveils XCELERATOR AI Sales Assistant

Stronger collaboration throughout the buying journey

The Winter Launch also delivers enhancements to Highspot Digital Sales Rooms-secure, branded collaboration spaces that support engagement between sellers and buyers across the entire deal lifecycle. Newly introduced mutual action plans within DSRs help both parties align on responsibilities, milestones, and timelines.

For sellers, this alignment reduces friction and shortens deal cycles. For buyers, it creates clarity, transparency, and confidence from the first interaction through deal close.

Sales performance grounded in preparation

Highspot’s Winter Launch further expands its AI-powered coaching and enablement capabilities to ensure sellers are prepared when execution matters most. AI Role Play is now accessible directly within Deal Agent, allowing sellers to rehearse real-world scenarios using live deal context—anytime and across web or mobile.

Additional updates include:

  • Highspot Skills, a GTM-validated framework for defining and measuring critical seller capabilities

  • AI-powered skill assessments to scale coaching and training initiatives

  • Automated AI Feedback for Training, which evaluates submissions automatically to eliminate review bottlenecks and accelerate seller readiness

Why this matters now

As buying committees grow larger and deal complexity increases, revenue teams need more than surface-level insights. They require intelligent guidance that translates insight into consistent execution. Highspot’s Winter Launch meets this need by embedding AI-driven recommendations directly into daily workflows-helping teams perform at a higher level without adding new tools or headcount.

From Highspot’s CEO

“Your go-to-market strategy lives or dies with the deal,” said Robert Wahbe, CEO, Highspot. “Our Winter Launch turns insight into action inside live deals, giving sellers the agentic platform they need to win more consistently and make your strategy successful.”

Why the market is shifting

According to the Gartner® Magic Quadrant™ for Revenue Enablement Platforms, 2025, “The market is shifting from episodic, generic tools to connected, insight-driven solutions. AI has moved from hype to business-critical, with buyers demanding proven ROI from AI investments.” Highspot’s Winter Launch is designed to meet these expectations by unifying sales data and transforming insight into execution at scale.

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